From 45d0b20a9a04dc4a09e6921c12965048a6aef718 Mon Sep 17 00:00:00 2001 From: Yin Jie <42110520+sjtuyinjie@users.noreply.github.com> Date: Thu, 13 Jun 2024 15:48:14 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7b93f10..8bb6771 100644 --- a/README.md +++ b/README.md @@ -96,7 +96,7 @@ We strongly recommend that the newly proposed SLAM algorithm be tested on our [M - [DAMS-LIO: A Degeneration-Aware and Modular Sensor-Fusion LiDAR-inertial Odometry](https://arxiv.org/pdf/2302.01703) from ICRA2023 - **⭐️`2024/03/05`**: -A quantity of cutting-edge SLAM systems have been tested on M2DGR by lovely users. [Here](https://blog.csdn.net/zardforever123/article/details/129194673) are the configuration files for [ORB-SLAM2](https://github.com/raulmur/ORB_SLAM2),[ORB-SLAM3](https://github.com/UZ-SLAMLab/ORB_SLAM3),[VINS-Mono](https://github.com/HKUST-Aerial-Robotics/VINS-Mono),[DM-VIO](https://github.com/lukasvst/dm-vio),[A-LOAM](https://github.com/HKUST-Aerial-Robotics/A-LOAM),[Lego-LOAM](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM),[LIO-SAM](https://github.com/TixiaoShan/LIO-SAM),[LVI-SAM](https://github.com/TixiaoShan/LVI-SAM),[LINS](https://github.com/ChaoqinRobotics/LINS---LiDAR-inertial-SLAM),[FastLIO2](https://github.com/hku-mars/FAST_LIO),[Fast-LIVO](https://github.com/hku-mars/FAST-LIVO),[Faster-LIO](https://github.com/gaoxiang12/faster-lio) and [hdl_graph_slam](https://github.com/koide3/hdl_graph_slam). Welcome to test! If you have more configuration files, please contact me and I will post it on this website ~ +A quantity of cutting-edge SLAM systems have been tested on M2DGR by lovely users. [Here](https://blog.csdn.net/zardforever123/article/details/129194673) are the configuration files for [ORB-SLAM2](https://github.com/raulmur/ORB_SLAM2), [ORB-SLAM3](https://github.com/UZ-SLAMLab/ORB_SLAM3), [VINS-Mono](https://github.com/HKUST-Aerial-Robotics/VINS-Mono),[DM-VIO](https://github.com/lukasvst/dm-vio), [A-LOAM](https://github.com/HKUST-Aerial-Robotics/A-LOAM), [Lego-LOAM](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM), [LIO-SAM](https://github.com/TixiaoShan/LIO-SAM), [LVI-SAM](https://github.com/TixiaoShan/LVI-SAM), [LINS](https://github.com/ChaoqinRobotics/LINS---LiDAR-inertial-SLAM), [FastLIO2](https://github.com/hku-mars/FAST_LIO),[Fast-LIVO](https://github.com/hku-mars/FAST-LIVO), [Faster-LIO](https://github.com/gaoxiang12/faster-lio) and [hdl_graph_slam](https://github.com/koide3/hdl_graph_slam). Welcome to test! If you have more configuration files, please contact me and I will post it on this website ~ - **🚀 `2024/02/22`**: New paper has been accepted by ICRA2024! The dataset is [**M2DGR-plus**](https://github.com/SJTU-ViSYS/M2DGR-plus) and [**Ground-Challenge**](https://github.com/sjtuyinjie/Ground-Challenge). And the algorithm code is [**Ground-Fusion**](https://github.com/SJTU-ViSYS/Ground-Fusion). The preprint paper is [here](http://arxiv.org/abs/2402.14308). @@ -385,7 +385,7 @@ For convenience of evaluation, we provide configuration files of some well-known [A-LOAM](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/aloam/aloam_velodyne_HDL_32.launch), [LeGO-LOAM](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/legoloam/run.launch), [LINS](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/lins/exp_port.yaml), [LIO-SAM](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/liosam/params.yaml), [VINS-MONO](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/vins/mytest.launch), [ORB-Pinhole](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/orb3/paperd435i.yaml), [ORB-Fisheye](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/orb3/paperleft.yaml), [ORB-Thermal](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/orb3/paperthermal.yaml), and [CUBMAPSLAM](https://github.com/sjtuyinjie/toolkit/blob/main/config_files/cubemapslam/runCubemapstreet_06.sh). -Furthermore, a quantity of cutting-edge SLAM systems have been tested on M2DGR by lovely users. [**Here**](https://blog.csdn.net/zardforever123/article/details/129194673) are the configuration files for [ORB-SLAM2](https://github.com/raulmur/ORB_SLAM2),[ORB-SLAM3](https://github.com/UZ-SLAMLab/ORB_SLAM3), [VINS-Mono](https://github.com/HKUST-Aerial-Robotics/VINS-Mono),[DM-VIO](https://github.com/lukasvst/dm-vio),[A-LOAM](https://github.com/HKUST-Aerial-Robotics/A-LOAM), [Lego-LOAM](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM), [LIO-SAM](https://github.com/TixiaoShan/LIO-SAM), [LVI-SAM](https://github.com/TixiaoShan/LVI-SAM), [LINS](https://github.com/ChaoqinRobotics/LINS---LiDAR-inertial-SLAM), [FastLIO2](https://github.com/hku-mars/FAST_LIO), [Fast-LIVO](https://github.com/hku-mars/FAST-LIVO), [Faster-LIO](https://github.com/gaoxiang12/faster-lio) and [hdl_graph_slam](https://github.com/koide3/hdl_graph_slam). Welcome to test! If you have more configuration files, please contact me and I will post it on this website ~ +Furthermore, a quantity of cutting-edge SLAM systems have been tested on M2DGR by lovely users. [**Here**](https://blog.csdn.net/zardforever123/article/details/129194673) are the configuration files for [ORB-SLAM2](https://github.com/raulmur/ORB_SLAM2), [ORB-SLAM3](https://github.com/UZ-SLAMLab/ORB_SLAM3), [VINS-Mono](https://github.com/HKUST-Aerial-Robotics/VINS-Mono),[DM-VIO](https://github.com/lukasvst/dm-vio), [A-LOAM](https://github.com/HKUST-Aerial-Robotics/A-LOAM), [Lego-LOAM](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM), [LIO-SAM](https://github.com/TixiaoShan/LIO-SAM), [LVI-SAM](https://github.com/TixiaoShan/LVI-SAM), [LINS](https://github.com/ChaoqinRobotics/LINS---LiDAR-inertial-SLAM), [FastLIO2](https://github.com/hku-mars/FAST_LIO), [Fast-LIVO](https://github.com/hku-mars/FAST-LIVO), [Faster-LIO](https://github.com/gaoxiang12/faster-lio) and [hdl_graph_slam](https://github.com/koide3/hdl_graph_slam). Welcome to test! If you have more configuration files, please contact me and I will post it on this website ~ ## DEVELOPEMENT TOOLKIT ### Extracting Images